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The Latest from DBEI

Explore up-to-date news, announcements, and insights from our research community.

Today is July 31, 2026

Upcoming Events

Discover upcoming events from the DBEI, where expertise drives impact. Join us for weekly seminars, innovative conferences, and engaging academic programs designed to advance knowledge and foster collaboration in biostatistics, epidemiology, and informatics.

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Jeffrey Morris Featured in New York Times Article on FDA Suppression of Vaccine Safety Research
In the Media

Jeffrey Morris Featured in New York Times Article on FDA Suppression of Vaccine Safety Research

June 3, 2026

Jeffrey Morris, PhD, was featured in a New York Times article discussing the FDA’s decision to block publication of large COVID-19 vaccine safety studies and the importance of transparent scientific research.

AWS Highlights Scalable Biomedical Research Infrastructure Developed at DBEI
In the Media

AWS Highlights Scalable Biomedical Research Infrastructure Developed at DBEI

May 18, 2026

AWS recently highlighted work led by Joost Wagenaar on scalable cloud-native infrastructure for biomedical research, featuring the Pennsieve platform as a model for secure scientific data management and collaboration at scale.

Dr. Charles Leonard Outlines Reforms to Align Energy Policy With Health Risks of Extreme Heat
In the Media

Dr. Charles Leonard Outlines Reforms to Align Energy Policy With Health Risks of Extreme Heat

May 13, 2026

In a new STAT First Opinion, Charles E. Leonard argues that access to air conditioning should be treated as essential preventive care as extreme heat increasingly threatens people living with chronic diseases.

Awards & Achievements

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CHIRP Postdoctoral Fellow Yajnaseni Chakraborti Awarded NIH K99 Grant
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CHIRP Postdoctoral Fellow Yajnaseni Chakraborti Awarded NIH K99 Grant

July 29, 2026

CHIRP postdoctoral fellow Yajnaseni Chakraborti has received an NIH Pathway to Independence (K99/R00) Award to study how everyday endocrine-disrupting chemicals may affect fertility and early pregnancy.

Yong Chen Elected Fellow of the Institute of Mathematical Statistics
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Yong Chen Elected Fellow of the Institute of Mathematical Statistics

June 24, 2026

DBEI is proud to congratulate Yong Chen, PhD, on being elected a 2026 Fellow of the Institute of Mathematical Statistics in recognition of his outstanding contributions to biostatistics and statistical science.

Drs. Qi Long and Robert Gross Awarded NIH R01 Grant for Advancing Multimodal AI/ML to Enhance HIV Prevention and Care
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Drs. Qi Long and Robert Gross Awarded NIH R01 Grant for Advancing Multimodal AI/ML to Enhance HIV Prevention and Care

June 17, 2026

Drs. Qi Long and Robert Gross have received a $6 million NIH/NIMH R01 grant to develop multimodal AI tools that enhance HIV prevention, care, and clinical decision-making.

Community Spotlight

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Community Spotlight: Sriharsha Mopidevi
Community Spotlight

Community Spotlight: Sriharsha Mopidevi

July 24, 2026

Sriharsha Mopidevi, MS, is a software engineer and researcher in the AI-4-AI Lab within the Department of Biostatistics, Epidemiology, and Informatics whose work focuses on developing privacy-preserving AI systems for clinical research. In this Q&A, Sriharsha shares what inspired his work, the real-world challenges it addresses, and what he values most about DBEI’s collaborative environment.

Community Spotlight: Lin-Chieh Meng
Community Spotlight

Community Spotlight: Lin-Chieh Meng

April 15, 2026

Lin-Chieh Meng, BSPharm, MS, is a researcher in the Department of Biostatistics, Epidemiology, and Informatics whose work centers on using causal inference methods to analyze real-world data and generate evidence for clinical decision-making and health policy. In this Q&A, Lin reflects on what inspired a research journey rooted in clinical practice and what is most valued about the collaborative DBEI community.

Community Spotlight: Kyle Stanley, PhD
Community Spotlight

Community Spotlight: Kyle Stanley, PhD

March 25, 2026

Kyle Stanley, PhD, is a postdoctoral researcher in the Department of Biostatistics, Epidemiology, and Informatics whose work centers on developing novel statistical methods to analyze wearable device data using functional data analysis, distributional modeling, and machine learning. In this Q&A, he reflects on what inspired his research journey and what he values most about the collaborative DBEI community.